Daniel

182 posts

Daniel

Daniel

@firsttimelifer

https://t.co/Gy2z0eigty - closing the loop on cold outbound | Model Enjoyer

Katılım Ekim 2024
698 Takip Edilen37 Takipçiler
Daniel
Daniel@firsttimelifer·
@jhylee95 @SupademoHQ Are you still making reddit posts? I've been finding that not being able to have a link to the site anymore has dropped inbound traffic by 99%
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Joseph Lee 🇰🇷🇨🇦
$10k to spend on customer acquisition A) paid ads on day one B) one free tool that gets copied around reddit most founders take A without thinking twice. @SupademoHQ took B and we drove it to $1M ARR in about a year, without spending a dollar on ads
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Daniel
Daniel@firsttimelifer·
@RobGuerra90 @CricTalk29 Open to trying some free leads for your earnings call API? ColdGeniusAI finds leads on LinkedIn who are already showing intent for earnings call data and transcript tools.
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Rob
Rob@RobGuerra90·
@CricTalk29 Developing earningscalls.dev — earnings call transcripts via a low-cost API or an MCP server. Pull any company's call directly into your workflow.
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Raj28
Raj28@CricTalk29·
Good Morning SaaS Founders!🧑‍💻 • Drop your SaaS, let’s get some users to try it out.👇
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Daniel
Daniel@firsttimelifer·
@muaztheavgeek @16vchq @Iliacxyz Would it help if I sent over some free leads for Iliac? ColdGeniusAI finds leads on LinkedIn already showing intent for autonomous technical support tools.
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16VC
16VC@16vchq·
We invest before the world agrees. We're looking for: • Obsessive founders • Large markets • Fast product velocity • Evidence people want it even if it's tiny Revenue is great. Clarity is better. Founder conviction matters most. What are you building?
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Daniel
Daniel@firsttimelifer·
@martin_valchev_ @CricTalk29 Want a free list of WooCommerce stores that could need your plugin? ColdGeniusAI finds leads on LinkedIn who are already showing intent for tools like yours.
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Martin
Martin@martin_valchev_·
@CricTalk29 I have been building a plugin that adds product videos to WooCommerce galleries to help boost sales. Would love for you to check it out if you have a store. nitramix.com/projects/video…
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Daniel
Daniel@firsttimelifer·
@aliamdev @CricTalk29 Would you like some free leads for TruboRankAI? ColdGeniusAI finds leads on LinkedIn who are already showing intent for AI search visibility tools.
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ALI MARESH
ALI MARESH@aliamdev·
@CricTalk29 TruboRankAI helps brands grow in AI search with an intelligent system built to analyze, track, and improve how AI platforms discover and recommend them. 👉 truborankai.com
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Daniel
Daniel@firsttimelifer·
@sebuzdugan @fi_jasper @getfrai Could I send you some free leads for getfrai? ColdGeniusAI finds leads on LinkedIn already showing intent around AI compliance and EU AI Act workflows.
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Sebastian Buzdugan
Sebastian Buzdugan@sebuzdugan·
@fi_jasper building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff frai.cc
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Jasper Felix | Sales & Tech
🚀 Founders and builders, Drop your startup, SaaS, or software link below! I'll personally review every website and share honest feedback and suggestions on: • 🎨 Design & UX • ⚡ Product positioning • 📈 Growth opportunities • 📝 Copy & messaging • 🔥 First impressions Excited to see what everyone is building 👇
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Daniel
Daniel@firsttimelifer·
@matthew_meadows @nezbuilds Interested in a free list of leads for Correlation Studio? ColdGeniusAI finds leads on LinkedIn who are already showing intent for data analysis tools like yours.
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Rango
Rango@matthew_meadows·
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Users bring their own data or discover it with our Dataset Wizard, driven by Claude, Gemini & Grok. Datasets are ingested to form the basis for Experiments which combine them together and analyze each column against every other. These combinations yield Discoveries in the form of metadata, scatterplots & line charts with drill-down capability and geospatial views. The datapoints, P-values, Granger Causality & other metadata are all part of the Discoveries that are analyzable. Users compile their Datasets, Experiments and Discoveries into shareable Portfolios that combine them with markdown & multimedia to make interactive presentations featuring their podcasts & lectures. It's AI all the way, from the Dataset Wizard to Claude analysis for Datasets, Discoveries and Portfolios. Corrie is the site's chatbot and she understands every public entity on the site. She's context-aware so you can ask her questions about what you're looking at, or more general questions about correlations or statistics. Corrie is also the curator, and has published hundred of Datasets and thousands of Discoveries on the site, as well as example Portfolios. The entire bundle of entities - Datasets, Experiments, Discoveries & Portfolios - provide content for the site. Users can publish them to the Home feed, create Posts and add them as attachments. There's sentiment feedback in the form of Likes, Ratings and Comments for all entities. The application was built from the ground up for socializing. The target market is business people, researchers, data scientists, students & academics. They may not even know they need to do correlation analysis as part of their workflow, but once it's presented to them as a tool they will see the benefit. The casually curious and users on mobile can still enjoy the content and our comprehensive Search of over 5K Datasets, 10K Experiments and 50K Discoveries. Correlation Studio - Data science without the code. correlationstudio.com/hero?utm_sourc…
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Nez
Nez@nezbuilds·
Hey builders 👋 It’s Monday, a new week means new opportunities to get your product noticed! Drop your startup, SaaS or tool + a short description below. I’ll be checking out projects, sharing feedback and connecting with builders throughout the day 👇
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Daniel
Daniel@firsttimelifer·
@albertpak @16vchq Would some free leads for BeaconMatch be helpful? ColdGeniusAI finds leads on LinkedIn who are already showing intent for landing page personalization and conversion tools.
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Albert Pak ™️ | beaconmatch.com
Building BeaconMatch. One thing I've learned: tiny revenue can be manufactured, but genuine customer pull is much harder to fake. We became obsessed with one question: why spend thousands optimizing the click, then send everyone to the same landing page? That's what we're solving: AI that matches every visitor's landing experience to their intent in real time. beaconmatch.com/?utm_source=x&…
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Daniel
Daniel@firsttimelifer·
@michaelg_me Would you be interested in some free leads for your padel club SaaS? ColdGeniusAI finds leads on LinkedIn who are already showing intent for club management software like yours.
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Michael Gerogiannis
Michael Gerogiannis@michaelg_me·
I'm a software engineer. So when marketing scared me, I shipped a feature. Scared again? Another feature. Almost 8 months of this. Now I have a gorgeous padel club management SaaS and zero customers. Started sending some DMs over the past weeks. Most get ignored. 😮‍💨 Hardest thing I've done. Should've started on day one.
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Razvan Andrei Cureteu
Razvan Andrei Cureteu@razvanships·
@alex_lrz_nmv built the thing twice first product: no users second product: small amount of users that came just for curiosity (no paid users) now i'm trying my third thing: i want to offer an ai booking system as a productized service to local businesses and slowly turn into a saas
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Alex
Alex@alex_lrz_nmv·
Founders, what stage are you stuck in right now? - Building the thing - Finding first users - Getting paid - Growing past friends and family
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Daniel
Daniel@firsttimelifer·
@ihuzaifadev Hey man, interested in using any lead gen tools to help with finding customers?
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Huzaifa
Huzaifa@ihuzaifadev·
Day 14. Still 0 customers. Built Traxvio to help businesses stop losing leads to slow email replies. No ads, no team just cold emails, building in public, and talking to customers every day. Zero customers today doesn't mean zero next month. I'm still building. 💪 #saas
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Akash Anand
Akash Anand@realAkashAnand·
GPT-5.6 Sol is unbelievably good at creating and editing videos. It can do motion design, product demos, and animations like this one I made by simply giving it a screen recording. GPT 5.6 has the best design taste and significantly outperforms Fable, which relies heavily on repetitive design patterns. To help you experiment with video editing on it, we just launched a collection of 100 ready-to-use skills that show what’s possible and help you get started with video editing using GPT-5.6. These skills can create anything from motion graphics launch videos for your product to a 3B1B-style science explainer video. You can also use them to edit existing videos: add captions, generate motion graphics, create voiceovers, redesign visual styles, translate into new languages, and much more. If you want access to the full library, comment “VIDEO SKILLS” and I’ll share it with you. (You'll have to follow me so I can DM you.)
OpenAI@OpenAI

Sol, Terra, and Luna, our GPT‑5.6 family of models, are starting to roll out now in ChatGPT, Codex, and the API.

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Akarsh G
Akarsh G@akarsh_ghale·
@romanbuildsaas Thanks for sharing. For reddit, how exactly did you crack it without sounding promotional? Did you just drop the link in comments or in your bio?
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Romàn
Romàn@romanbuildsaas·
We scaled to $3.5M ARR in less than 1 year. No one wants to hear this, but there’s no magic distribution channel. We scalled by testmaxxing every channel depending on our MRR level. €0 → $6k MRR: pure outbound. Cold email plus LinkedIn, using our own early product on ourselves. No brand, no audience, just us reaching out to people showing intent and starting conversations. Ugly, manual, effective. $10k → $25k MRR: Reddit. Our first real acquisition breakthrough. We posted educational breakdowns in SaaS subreddits and did 10M+ organic views. The traffic quality wasn't amazing, but the volume was so huge it flooded our trial funnel for months. Cost: basically zero. $25k → $75k MRR: content plus free blueprints. We went all-in on LinkedIn content, YouTube, motion-design videos, and giving away our internal systems as free "blueprints." Content got the reach, the blueprints earned the trust, and a chunk of readers converted. This is where founder-led content started compounding. $75k → $150k MRR: partnerships and X. We added Twitter, B2B influencers, sponsored newsletters, and a lifetime affiliate program that became a major lever. We also joined YC around here, and the intensity went vertical. $150k+ MRR: paid and hiring. Meta ads, Google ads, influencer agencies, and hiring seriously for the first time, growth, sales, engineering, product. None of these stages replaced the last one. They stacked. Outbound never stopped. Content never stopped. We just kept adding the next lever once the current one was clearly working. If you take one thing from this: don't chase five channels at once. Beat one until it works, then add the next.
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Chad
Chad@ChadAppDev·
@DanKulkov I’ve seen your iOS apps and this is honestly hard to believe
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Dan Kulkov
Dan Kulkov@DanKulkov·
claude code subscription — $100/mo ios apps revenue — $2700/mo life is amazing
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Daniel
Daniel@firsttimelifer·
@Austen That’s classic legacy tech co
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Daniel retweetledi
Daniel
Daniel@firsttimelifer·
The nationalization of AI is here
Jukan@jukan05

CHINA CONSIDERS RESTRICTING OVERSEAS ACCESS TO CUTTING-EDGE AI MODELS China’s Ministry of Commerce has led meetings over the past month with major AI companies, including Alibaba, ByteDance, and Z.ai, to discuss measures that would restrict overseas access to cutting-edge AI models, including models that have not yet been released. The discussions reportedly include not only closed-source models but also open-weight models. However, the scope of application is still under debate, and the rules may ultimately apply only to future frontier models. Officials have also discussed designating the leakage or theft of proprietary AI technologies as a national security crime, with stronger penalties, as well as restricting the types of foreign capital that can invest in Chinese AI startups. The backdrop is the U.S. move to strengthen export controls on AI models, along with national security concerns over cutting-edge models that could possess advanced cyberattack capabilities. Chinese authorities are reportedly concerned that advanced U.S. cybersecurity AI models could be used to exploit vulnerabilities in Chinese software. Since the beginning of this year, China has continued to tighten measures to prevent AI technology from being transferred overseas. Authorities have investigated whether Chinese AI startups that relocated abroad violated export control laws, while also strengthening oversight of overseas transactions involving Chinese investors, technology, data, and national security concerns. Future regulations could take the form of a tiered framework based on technological capability. Basic open-source AI models may be managed through a filing system, high-performance models may be subject to security reviews, and the most sensitive frontier models may be banned from public release or restricted to use within China.

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